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Linux/Unix编程 The information in this book will show you how to create code that will run on all of the different
The information in this book will show you how to create code that will run on all of the different Linux distributions and hardware types. It will allow you to understandhow Linux works and how to take advantage of its flexibility.
其他书籍 This resource presents you with the skills you need to become the ultimate power user for ALL Linux
This resource presents you with the skills you need to become the ultimate power user for ALL Linux distributions. The author provides detailed instructions for customization, optimization, troubleshooting, shortcuts, and using the best 3rd party tools.
并行计算 dysii is a C++ library for distributed probabilistic inference and learning in large-scale dynamical
dysii is a C++ library for distributed probabilistic inference and learning in large-scale dynamical systems. It provides methods such as the Kalman, unscented Kalman, and particle filters and smoothers, as well as useful classes such as common probability distributions and stochastic processes.
软件设计/软件工程 Eclipse is the leading Integrated Development Environment (IDE) for Java, with a rich ecosystem of
Eclipse is the leading Integrated Development Environment
(IDE) for Java, with a rich ecosystem of plug-ins and an open
source framework that supports other languages and projects.
You’ll fnd this reference card useful for getting started with
Eclipse and exploring the breadth of its features.
...
Linux/Unix编程 We (the Klimas family) are relative Linux newbies (with Linux since Summer 1998). We run RedHat mos
We (the Klimas family) are relative Linux newbies (with Linux since Summer 1998). We run RedHat
mostly -> the solutions might not be directly applicable to other Linux distributions (although most of
them probably will). Hope this helps, we try to be as practical as possible. Of course, we provide n ...
源码 gibbs抽样 matlab实现
使用matlab实现gibbs抽样，MCMC: The Gibbs Sampler
多元高斯分布的边缘概率和条件概率
Marginal and conditional distributions of multivariate normal distribution
书籍 Signal Processing for Telecommunications
This paper presents a Hidden Markov Model (HMM)-based speech
enhancement method, aiming at reducing non-stationary noise from speech
signals. The system is based on the assumption that the speech and the noise
are additive and uncorrelated. Cepstral features are used to extract statistical
informati ...